Triple

T17442131
Position Surface form Disambiguated ID Type / Status
Subject Hörnli ridge E424681 entity
Predicate firstAscentBy P1321 FINISHED
Object Charles Hudson NE NERFINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Charles Hudson | Statement: [Hörnli ridge, firstAscentBy, Charles Hudson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Charles Hudson
Context triple: [Hörnli ridge, firstAscentBy, Charles Hudson]
  • A. Charles Hudson chosen
    Charles Hudson was a 19th-century British mountaineer and Anglican clergyman known for his pioneering ascents in the Alps.
  • B. Sam Hudson
    Sam Hudson is a musician best known for having been a member of the American rock band Everclear.
  • C. Alex Hawkins
    Alex Hawkins was an American football player and broadcaster who served as a television announcer for the 1974 World Bowl.
  • D. Charlie Simms
    Charlie Simms is the conscientious and financially struggling prep-school student who serves as the moral center and primary protagonist alongside Al Pacino’s character in the film "Scent of a Woman."
  • E. Andrew Davenport
    Andrew Davenport is a British television writer and producer best known for creating the preschool series "Teletubbies."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d889db0ba481908402409af3b37917 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e44ff82bbc819095dd0621137da809 completed April 19, 2026, 3:46 a.m.
Created at: April 10, 2026, 5:46 a.m.